Robust FDI for a Class of Nonlinear Networked Systems with ROQs

Abstract EN

This paper considers the robust fault detection and isolation (FDI) problem for a class of nonlinear networked systems (NSs) with randomly occurring quantisations (ROQs).

After vector augmentation, Lyapunov function is introduced to ensure the asymptotically mean-square stability of fault detection system.

By transforming the quantisation effects into sector-bounded parameter uncertainties, sufficient conditions ensuring the existence of fault detection filter are proposed, which can reduce the difference between output residuals and fault signals as small as possible under H ∞ framework.

Finally, an example linearized from a vehicle system is introduced to show the efficiency of the proposed fault detection filter.